Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37576, first published .
Feasibility and Impact of Integrating an Artificial Intelligence–Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study

Feasibility and Impact of Integrating an Artificial Intelligence–Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study

Feasibility and Impact of Integrating an Artificial Intelligence–Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study

Journals

  1. Liu X, Ji X, Weng X, Zhang Y. Artificial intelligence ecosystem for computational psychiatry: Ideas to practice. World Journal of Meta-Analysis 2023;11(4):79 View
  2. Wall D, Liu-Mayo S, Salomon C, Shannon J, Taraman S. Optimizing a de novo artificial intelligence-based medical device under a predetermined change control plan: Improved ability to detect or rule out pediatric autism. Intelligence-Based Medicine 2023;8:100102 View
  3. Rábago de Ávila M, Polanco Ortega X, González Castillo S, Ruíz Bernés S, Chávez Rivera C. Prácticas Narrativas: Visibilización de la Red de Apoyo Emocional y la Resiliencia en las Madres de Personas con Trastorno del Espectro Autista. Estudios y Perspectivas Revista Científica y Académica 2024;4(3):987 View
  4. Bouchouras G, Kotis K. Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection. Algorithms 2025;18(1):34 View
  5. Zhang S. AI-assisted early screening, diagnosis, and intervention for autism in young children. Frontiers in Psychiatry 2025;16 View
  6. Salomon C, Heinz K, Aronson-Ramos J, Wall D. An analysis of the real world performance of an artificial intelligence based autism diagnostic. Scientific Reports 2025;15(1) View
  7. Bae S, Hong J, Ha S, Moon J, Yu J, Choi H, Lee J, Do R, Sim H, Kim H, Lim H, Park M, Ko E, Yang C, Lee D, Yoo H, Lee Y, Bong G, Kim J, Sung H, Kim H, Jung E, Chung S, Son J, Yoo J, Jeon S, Kim H, Kim B, Cheon K. Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools. npj Digital Medicine 2025;8(1) View
  8. Sohl K, Linstead E, Heinz K, Lledo E, Brewer Curran A, Mahurin M, Nanclares-Nogués V, Salomon C, Seal M, Taraman S. Integration of an Artificial Intelligence–Based Autism Diagnostic Device into the ECHO Autism Primary Care Workflow: Prospective Observational Study. JMIR Formative Research 2025;9:e80733 View
  9. Reilly A, Walsh N, O’Reilly D, Smyth M, Gorman K, Ostadabbas S, Power C. The role of machine learning in autism spectrum disorder assessment and management. Pediatric Research 2025 View

Books/Policy Documents

  1. Nagarajan R, Kavitha G. Intersecting AI and Medicine for Improved Care and Administrative Efficiency. View

Conference Proceedings

  1. Kumar R, Bordoloi D, Shrivastava A, Kumar C, Kumari V, Kumar A. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). Behavioral and Clinical Data Analysis for Autism Spectrum Disorder Screening with Machine Learning View